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Reducing costs by half and supporting around five times the non-peak user volume during peak hours.
Time is also saved because the N1QL query language is very similar to relational databases and traditional databases, so developers do not need much time learning the N1QL query language.
We have indeed seen a return on investment with Couchbase Enterprise, as it allowed us to save costs by using it for all services, which improved interaction efficiency with microservices and reduced persistence time by 60%.
The support team has been helpful with VNET configuration, Sync Gateway, and other technical issues.
We used the documentation, which was well-written and clear.
The customer support helped me with the licensing part and assisted me in setting up Couchbase Enterprise.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
Couchbase Enterprise is very efficient in handling growth and increased workloads, proving to be effective during traffic spikes and addressing any problems with horizontal scaling.
Couchbase is extremely scalable, which is critical when handling high throughput and load.
It was easily scalable, which is expected from a NoSQL database.
It is provided as a pre-configured box, and scaling is not an option.
We didn't experience any downtime, and the data stayed there consistently.
Couchbase Enterprise has not shown any low latency in handling peak loads or high user traffic; its performance remains excellent.
There are no significant issues with Couchbase Enterprise.
There is operational overhead with Couchbase Enterprise, such as managing clusters, monitoring performance, and handling failovers, which require strong DevOps expertise.
There are no dropdown options, and I have to manually enter the key and its value to retrieve any specific document, so adding some toggles or dropdowns would be an improvement.
I also heard from a peer about a complex multi-document transaction requiring strict consistency, which Couchbase Enterprise did not support effectively, whereas MongoDB was mature and predictable for such transactions.
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
It can range between 25,000 to 40,000 Euros per year depending on company requirements.
They did update, and since then, I haven't had any problems anymore.
The setup cost is costly because it takes time to set up and is complex, so it is not very cost-efficient.
The most valuable features of Couchbase include the key-value storage due to its speed and the multi-master capability, which provides more speed and scalability compared to master-slave databases.
The best thing about Couchbase is its versatility in handling data.
We have big customers such as Marriott who have around 10,000 to 20,000 features configured under their chain, and we have tried retrieving data multiple times, employing batch jobs and cron jobs without facing any latency.
It operates as a high-speed data warehouse, which is essential for handling big data.


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 33 |
Couchbase Enterprise offers powerful data management capabilities with features like horizontal scalability, ease of use, and flexible tools for business applications. Designed for high performance and reliability, it supports multi-master capability and low latency, making it ideal for dynamic environments.
Designed for businesses needing crucial data management, Couchbase Enterprise offers advanced indexing, analytics engines, and efficient storage for performance enhancement. It provides flexibility with data types, robust data sync, and supports a dynamic API for seamless integration. Its intuitive query language simplifies operations, ensuring businesses navigate effortlessly while enjoying high availability and extensive features. Despite this, challenges exist in areas like manual failover processes, complex upgrades, and UI limitations, necessitating enhancements in concurrency, integration, and security features. Performance issues on certain platforms add to the need for improved documentation and support.
What are Couchbase Enterprise’s most important features?Couchbase Enterprise is deployed across industries for its excellent data handling capabilities. It empowers telemedicine, e-commerce, gaming, and telecommunications sectors by offering efficient data link utilization, caching, and logging. Some companies leverage its real-time data replication with Elasticsearch for high-performance operational needs, while others benefit from its capabilities in managing reads and writes in iGaming. Retail industries use its document-based storage for structured inventory management, and cloud migrations are simplified with support from Capella.
IBM Netezza Performance Server offers high performance, scalability, and minimal maintenance. It seamlessly integrates SQL for efficient data processing, making it ideal for enterprise data warehousing needs.
IBM Netezza Performance Server is known for its outstanding data processing capabilities. Its integration of FPGA technology, compression techniques, and partitioning optimizes query execution and scalability. Users appreciate its appliance-like architecture for straightforward deployment, distributed querying, and high availability, significantly boosting operations and analytics capabilities. However, there are areas for improvement, particularly in handling high concurrency, real-time integration, and specific big data functionalities. Enhancements in database management tools, XML integration, and cloud options are commonly desired, along with better marketing and community engagement.
What are the key features of IBM Netezza Performance Server?Industries rely on IBM Netezza Performance Server for robust data warehousing solutions, particularly in sectors requiring intensive data analysis such as finance, retail, and telecommunications. Organizations use it to power business intelligence tools like Business Objects and MicroStrategy for customer analytics, establishing data marts and staging tables to efficiently manage and update enterprise data. With the capacity to handle large volumes of compressed and uncompressed data, it finds numerous applications in on-premises setups, powering data mining and reporting with high reliability and efficiency.
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